import cv2
import numpy as np
img_path='orange.jpg'
img=cv2.imread(img_path)
cv2.imshow('Original',img)
imgHSV=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
cv2.imshow('HSV',imgHSV)
def empty(obj):
    pass
cv2.namedWindow('TrackBars')
cv2.resizeWindow('TrackBars',640,240)
cv2.createTrackbar('Hue Min','TrackBars',0,180,empty)
cv2.createTrackbar('Hue Max','TrackBars',19,180,empty)
cv2.createTrackbar('Sat Min','TrackBars',134,255,empty)
cv2.createTrackbar('Sat Max','TrackBars',255,255,empty)
cv2.createTrackbar('Val Min','TrackBars',160,255,empty)
cv2.createTrackbar('Val Max','TrackBars',255,255,empty)

#
while True:
    h_min = cv2.getTrackbarPos("Hue Min", "TrackBars")
    h_max = cv2.getTrackbarPos("Hue Max", "TrackBars")
    s_min = cv2.getTrackbarPos("Sat Min", "TrackBars")
    s_max = cv2.getTrackbarPos("Sat Max", "TrackBars")
    v_min = cv2.getTrackbarPos("Val Min", "TrackBars")
    v_max = cv2.getTrackbarPos("Val Max", "TrackBars")
    lower=np.array([[h_min],[s_min],[v_min]])
    upper=np.array([[h_max],[s_max],[v_max]])
    mask=cv2.inRange(imgHSV,lower,upper)
    cv2.imshow("Mask",mask)
    imgResult=cv2.bitwise_and(img,img,mask=mask)
    cv2.imshow("Result",imgResult)
    if cv2.waitKey(1)==ord('q'):
        break
cv2.waitKey()
cv2.destroyAllWindows()
